Automatic System to Detect Radiation Exposure in Day-To-Day Life
Prof. S. D. JadhavAssistant Professor, Dept. of Electronics and Telecommunications Engineering, Bharti Vidyapeeth College of Engineering, Navi Mumbai, Maharashtra, IndiaHrudaya GaikyB.E., Department of Electronics and Telecommunications, Bharati Vidyapeeth College of Engineering, Navi Mumbai, Maharashtra, IndiaSonal MaralB.E., Department of Electronics and Telecommunications, Bharati Vidyapeeth College of Engineering, Navi Mumbai, Maharashtra, IndiaSoha RandhirB.E., Department of Electronics and Telecommunications, Bharati Vidyapeeth College of Engineering, Navi Mumbai, Maharashtra, IndiaTejaswini VisalB.E., Department of Electronics and Telecommunications, Bharati Vidyapeeth College of Engineering, Navi Mumbai, Maharashtra, India
Vol 5 No 4 (2021): Volume 5, Issue 4, April 2021 | Pages: 126-129
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 28-04-2021
doi.org/10.47001/IRJIET/2021.504019
Abstract
The existence of air pollutants and the unconstrained emission of non-ionization radiation such as RF and UV radiation in the environment due to various human activities eventually leads us to consider how necessary it is to monitor the surrounding parameters to ensure the safety of the general public. The basis of a monitoring system contains three prime subsystems namely the detection sensor, wireless communication, and monitoring interface. This paper describes an IoT-based system that consists of a set of interconnected components that can detect, monitor, collect and store the data of parameters such as UV radiation, RF radiation, gas leakage, and air quality from the vicinity, in real-time. The system consists of 1) four distinct sensing modules for measuring entities like air quality, gas leakage, UV, and RF radiation. 2) a base station or a central unit mainly comprising of microcontroller ATMEGA328 and Wi-Fi module ESP8266 for the processing of data from the respective sensors, to notify using buzzer alarm if the values cross the threshold limit, and display of the values on LCD. 3) a cloud such as BLYNK and an android application for real-time data collection and its visualization along with the provision of remote access to the user. The complete description of the system architecture is shown and the workability is proved.
Keywords
Internet of Things, ATMEGA, Non-ionization radiation monitoring, Real-time monitoring, Environment
Citation of this Article
Prof. S. D. Jadhav, Hrudaya Gaiky, Sonal Maral, Soha Randhir, Tejaswini Visal, “Automatic System to Detect Radiation Exposure in Day-To-Day Life” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 4, pp 126-129, April 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.504019
Licence
Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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